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Article

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Title

Benchmarking of Problems and Solvers: a Game-Theoretic Approach

Authors

Year of publication

2019

Published in

Foundations of Computing and Decision Sciences

Journal year: 2019 | Journal volume: vol. 44 | Journal number: no. 2

Article type

scientific article

Publication language

english

Keywords
EN
  • benchmarking
  • software
  • solvers
  • problems
  • testing
  • multiobjective decision-making problem
Abstract

EN In this note, we propose a game-theoretic approach for benchmarking computational problems and their solvers. The approach takes an assessment matrix as a payoff matrix for some zero-sum matrix game in which the first player chooses a problem and the second player chooses a solver. The solution in mixed strategies of this game is used to construct a notionally objective ranking of the problems and solvers under consideration. The proposed approach is illustrated in terms of an example to demonstrate its viability and its suitability for applications.

Pages (from - to)

137 - 150

DOI

10.2478/fcds-2019-0008

URL

https://www.sciendo.com/article/10.2478/fcds-2019-0008

License type

CC BY-NC-ND (attribution - noncommercial - no derivatives)

Full text of article

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Access level to full text

public

Ministry points / journal

20

Ministry points / journal in years 2017-2021

40

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